nasarestricted
ARC Code TI: IND: Creation and Manipulation of Decision Trees from Data
IND is applicable to most data sets consisting of independent instances, each described by a fixed length vector of attribute values. An attribute value may be a number, one of a set of attribute specific symbols, or omitted. One of the attributes is delegated the 'target' and IND grows trees to predict the target. Prediction can then be done on new data or the decision tree printed out for inspection.
ShareScore
20/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 4
- Reuse readiness
- 8
- Engagement
- 0
Dataset details
- Repository
- nasa
- Published
- March 31, 2025
- License
- notspecified
- DOI
- arc-code-ti-ind-creation-and-manipulation-of-decision-trees-from-data
Scored with release 0.9.0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.